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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
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In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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Finding the best way to put media bias research into practice via an annotation app ...
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Are neural language models sensitive to false belief? A computational study. ...
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Can distributional semantics explain performance on the false belief task? ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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Compilable Neural Code Generation with Compiler Feedback ...
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Who has ears, listen: Citizen Listening Program for disease prevention. ...
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Who has ears, listen: Citizen Listening Program for disease prevention. ...
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Tripartitions of the first person space (English speakers, Condition 1) ...
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Abstract:
The first person space can be thought of as covering all possible groups of individuals that include the speaker of the conversational context. Research on the typology of person systems suggests that languages carve-up this space by making use of features, which are smaller than the groupings or categories themselves. For example, a language that makes use of a ±addressee person feature will distinguish pronouns as a function of whether their reference includes both speaker and addressee, or the speaker but not the addressee. Similarly, a language that makes use of only a number distinction (such as ±atomic) will just differentiate between a pronoun that refers to the speaker alone and a pronoun that refers to the speaker plus any others (e.g., English). Person and number features can also be combined. Languages like Tamil make an ±atomic contrast on top of the clusivity distinction, and have three first person pronominal forms. Previous work (Maldonado & Culbertson 2019, Maldonado & Culbertson, to ...
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Keyword:
Adquisition; Artificial Language Learning; FOS Languages and literature; Linguistics; Morphology; Person; Pronominal systems; Semantics; Social and Behavioral Sciences
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URL: https://osf.io/z872c/ https://dx.doi.org/10.17605/osf.io/z872c
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Building community through hospitality : indirect obligations to reciprocate in a transnational speech community
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Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
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Communicating artificial neural networks develop efficient color-naming systems
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In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inria.fr/hal-03329084 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (12), ⟨10.1073/pnas.2016569118⟩ (2021)
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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
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Identification et gestion des données personnelles dans les textes ; Identification et gestion des données personnelles dans les textes: modèle sémantique et applications
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In: CiDE.22 : 22éme édition du Colloque International sur le Document Electronique Données Documents Connaissances : Perspectives de recherche et d’enseignement ; https://hal.archives-ouvertes.fr/hal-03506075 ; CiDE.22 : 22éme édition du Colloque International sur le Document Electronique Données Documents Connaissances : Perspectives de recherche et d’enseignement, Dec 2021, Paris, France (2021)
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